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Dolly-V2-7B
Dolly-V2-7B
Open Instruction-Tuned LLM for Business & Research
What is Dolly-V2-7B?
Dolly-V2-7B is an open-source, instruction-tuned large language model developed by Databricks, based on the EleutherAI Pythia-7B architecture. It was fine-tuned using a high-quality, human-generated dataset for instruction following, offering a transparent, modifiable alternative to closed models like GPT-3.5.
This model is designed for enterprise, research, and educational use, delivering good conversational and task-solving performance without the burden of restrictive licensing or cloud APIs.
Key Features of Dolly-V2-7B
Use Cases of Dolly-V2-7B
Limitations
Risks
Parameter
- Quality (MMLU Score)
- Inference Latency (TTFT)
- Cost per 1M Tokens
- Hallucination Rate
- HumanEval (0-shot)
Llama 2
Whether you're building an internal productivity tool, conducting AI safety research, or teaching LLM mechanics, Dolly-V2-7B is open, capable, and trustworthy.
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